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Aws Wechat Article Assets

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aiworkskills
aws-wechat-article-assets

公众号素材|业务资料库|预设包|.aws 预设包|主题包|品牌包|aiworkskills.cn — 用户业务资料库与预设包管理:业务资料按产品名组织在 `.aws-article/products/{产品名}/`(介绍 .md 直挂产品根 + 配图归 `images/` 子目录含同名说明 .md),AI 与用户对话产出业务介绍内容时引导用户保存;图片入库走 `product_image_ingest.py --product <产品名> --stem <中文名>`。导入 .aws ZIP 预设包(本地文件或 `https://aiworkskills.cn/**/*.aws` URL)合并主题/配色/字体配置到 `.aws-article/presets/`;`config.yaml` 仅本地不存在时从包内复制,已存在则 stdout 输出差异 JSON 不覆盖。面向内容运营、品牌团队、设计支持岗。触发词:「素材库入库」「stock images」「上传图到素材库」「.aws」「预设包」「导入预设」「主题包」「aiworkskills.cn 链接」「.aws 下载地址」。

Overview

Publisheraiworkskills
Repositorywechat-article-skills
Skill nameaws-wechat-article-assets
Stars
672
Forks
99
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aiworkskills on GitHub. Read the source before you install it.

Installation

Install the Aws Wechat Article Assets AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aiworkskills/wechat-article-skills/tree/main/skills/aws-wechat-article-assets
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aiworkskills/wechat-article-skills.git /tmp/wechat-article-skills
mkdir -p .claude/skills
cp -r /tmp/wechat-article-skills/skills/aws-wechat-article-assets .claude/skills/aws-wechat-article-assets
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Wechat Article Assets in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Wechat Article Assets on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Wechat Article Assets is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

用户业务资料库与预设(Assets)

业务资料按产品名分目录 — .aws-article/products/{产品名}/ 直挂业务介绍 .md、images/ 存配图(含同名说明 .md)。写涉及用户自身业务的文章/配图前必须先查这里;新生成的业务介绍内容应引导用户保存到这里。预设包合并到 .aws-article/presets/。

套件说明 · 本 skill 属 aws-wechat-article-* 一条龙套件(共 9 个 slug,入口 aws-wechat-article-main)。跨 skill 的相对引用依赖同一 skills/ 目录,建议一并 clawhub install 全套。源码:https://github.com/aiworkskills/wechat-article-skills

能力披露(Capabilities)

本 skill 管理本地业务资料库与预设包,可选从 aiworkskills.cn 域下载 .aws 预设包(ZIP)。

  • 凭证:无(但导入 .aws 会把包内密钥写进仓库根 aws.env,见下)
  • 网络:可选 https://*.aiworkskills.cn/**/*.aws 下载预设包。白名单强制:仅 HTTPS + aiworkskills.cn 及其子域,非白名单直接报错退出。--allow-any-host 可放宽,调试用
  • 文件读:用户指定的本地图片或 .aws 文件;引导入库前会 ls .aws-article/products/ 看已有产品名
  • 文件写:
    • .aws-article/products/{产品名}/*.md(业务介绍,AI 用 Write 工具直接落库)
    • .aws-article/products/{产品名}/images/*(图片 + 同名 .md,由脚本写)
    • .aws-article/presets/<白名单子目录>/*、.aws-article/downloads/*.aws、.aws-article/tmp/*
    • 仓库根 aws.env:导入 .aws 时按映射表增量写入密钥(覆盖现有键前自动备份 aws.env.bak.{ts},stderr 只打印键名不打印值)
  • 归档安全:解压 .aws(ZIP)到 .aws-article/tmp/。已内置 ZIP slip 防御——逐项校验成员路径,拒绝绝对路径、.. 段、或解析后指向解压目录外的路径,任一违反立即退出且不写入任何文件
  • shell:仅 {python} {baseDir}/scripts/ 下的 product_image_ingest.py、import_presets_aws.py

除 aws.env 外,所有写入都限制在仓库根的 .aws-article/ 内。

单独安装可用:两个脚本都不依赖兄弟 skill,只要有 .aws-article/ 目录就能工作。

三件事

能力说明
业务介绍 .md 入库对话中产出的业务介绍 → products/{产品名}/<文件名>.md(Write 工具直接落库,无脚本)
业务图入库用户业务图 → products/{产品名}/images/ + 同名说明 .md(脚本,--product 必填)
预设包 .awsZIP(本地文件或 https://aiworkskills.cn/**/*.aws)→ 合并 presets/ 白名单子目录

设计意图(必读)⛔

.aws-article/products/{产品名}/ 是用户自家业务(卖货 / 卖软件 / 卖服务 / 自媒体 IP)的资料库——既是 AI 写业务相关内容时的底稿来源,也是 AI 与用户协作产出新介绍时的保存目的地。

.aws-article/products/{产品名}/
├─ 项目介绍.md                # 业务介绍 .md 直挂产品根(命名按用户行业:服务介绍.md / 品牌介绍.md…)
├─ (其他业务文档.md)
└─ images/
   ├─ 配置首页.png
   └─ 配置首页.md             # 图片说明 .md(同名)

双向触发:

方向触发条件行为
读当前任务涉及用户自家业务(对外介绍 / 教程 / 案例 / 自家安利 / 业务配图)先 ls .aws-article/products/,识别相关产品,读它根下的 *.md、查 images/ 同名 .md,把已有素材当底稿与配图候选
写AI 刚生成或改写的内容语义属于用户业务介绍走下面「业务介绍 .md 入库」;用户说「保存为产品介绍」等也走这条

什么时候不要触发见 branches.md「一」。

一、业务介绍 .md 入库

无需脚本,AI 用 Write 工具直接落库。两种触发:

  • AI 主动识别:刚生成/改写的内容明确属于用户自家业务介绍(产品 / 服务 / 品牌 / 项目 / 团队 / 业务范围)时提示用户:

    「这段是 [产品名] 的业务介绍,要不要保存到产品资料库?我可以存到 .aws-article/products/{产品名}/{文件名}.md,下次写涉及业务的文章时会自动用上。」

  • 用户主动指令:「保存为产品介绍 / 业务介绍 / 服务介绍 / 入库到产品 / 存到产品资料库」等。

保存流程:

  1. 确认产品名:ls .aws-article/products/,已有目录提示复用;新产品向用户拿名字。
  2. 确认文件名:默认 项目介绍.md;可改成贴用户行业的 产品介绍.md / 服务介绍.md / 品牌介绍.md。
  3. 建目录:mkdir -p .aws-article/products/{产品名}/images/(即便暂时为空也把骨架建齐)。
  4. 写入:Write 工具落到 .aws-article/products/{产品名}/{文件名}.md。
  5. 反馈:「已存到 <完整路径>,下次涉及 [产品名] 业务的文章会自动用上」。

二、业务图入库

脚本不会读图——读图定文件名、写画面描述是 Agent 的活,入库命令要带 --content:

bash
{python} {baseDir}/scripts/product_image_ingest.py <源图片路径> \
  --product "公众号AI运营助手" --stem "配置首页" \
  --content "客观中文描述,一两句即可"

--product / --stem 必填,产品目录与 images/ 不存在时自动创建。产出 配置首页.png + 配置首页.md。

不传 --content 会写占位句(预期行为,不是故障)、.md 的固定格式,见 branches.md「二」。

三、预设包导入(.aws)

扩展名 .aws,实质是 ZIP。包根应含与仓库一致的预设文件夹(可以多出别的文件,脚本只处理白名单):

closing-blocks、cover-styles、formatting、image-styles、sticker-styles、structures、title-styles

另可有根级 config.yaml、writing-spec.md。不在白名单的目录会被跳过并打日志——components/ 与 review-rules.yaml 就不由 .aws 管理,原因见 branches.md「三」。

工作流:

  1. 准备来源:本地 .aws 文件,或符合白名单的 HTTPS URL。
  2. 先 --dry-run 看将写入哪些路径。
  3. 在仓库根执行:
bash
# 本地路径
{python} {baseDir}/scripts/import_presets_aws.py path/to/bundle.aws
{python} {baseDir}/scripts/import_presets_aws.py path/to/bundle.aws --dry-run

# URL(仅 aiworkskills.cn 及子域)
{python} {baseDir}/scripts/import_presets_aws.py https://aiworkskills.cn/bundles/brand-a.aws

三条要先知道的语义 ⛔:

  • 预设目录是替换式:包内有该子目录 → 先清空本地同名目录再写;包内没有 → 本地保持不动。
  • config.yaml 不覆盖:本地已有时只把差异以 JSON 打到 stdout,须问过用户再手改。本地没有才复制。
  • 密钥会进 aws.env:包内 wechat_appid / wechat_appsecret / writing_model.api_key / image_model.api_key 按映射增量写入,覆盖前备份 aws.env.bak.{ts}。

完整规则(映射表、写入策略、包根优先级、URL 白名单、tmp 语义)见 branches.md「三~五」。

脚本

脚本参数
product_image_ingest.pysource、--product(必填)、--stem(必填)、--content、--repo
import_presets_aws.pybundle(路径或白名单 URL)、--dry-run、--repo、--allow-any-host(调试)

分支与细则

不该入库的情况、业务图入库两步、.aws 合并语义、密钥映射、URL 白名单 → references/branches.md。

过程文件

场景产出
业务介绍 .md 入库.aws-article/products/{产品名}/{文件名}.md(同时 mkdir images/)
业务图入库.aws-article/products/{产品名}/images/*.{png,…} + 同名 *.md
.aws 导入.aws-article/presets/** 更新;config.yaml 首次复制或 stdout 差异 JSON;密钥增量写入 aws.env(覆盖前备份);解压缓存在 .aws-article/tmp/
.aws URL 导入下载缓存 .aws-article/downloads/*.aws;其余同本地导入

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aws Wechat Article Assets AI skill do?

公众号素材|业务资料库|预设包|.aws 预设包|主题包|品牌包|aiworkskills.cn — 用户业务资料库与预设包管理:业务资料按产品名组织在 `.aws-article/products/{产品名}/`(介绍 .md 直挂产品根 + 配图归 `images/` 子目录含同名说明 .md),AI 与用户对话产出业务介绍内容时引导用户保存;图片入库走 `product_image_ingest.py --product <产品名> --stem <中文名>`。导入 .aws ZIP 预设包(本地文件或 `https://aiworkskills.cn/**/*.aws` URL)合并主题/配色/字体配置到 `.aws-article/presets/`;`config.yaml` 仅本地不存在时从包内复制,已存在则 stdout 输出差异 JSON 不覆盖。面向内容运营、品牌团队、设计支持岗。触发词:「素材库入库」「stock images」「上传图到素材库」「.aws」「预设包」「导入预设」「主题包」「aiworkskills.cn 链接」「.aws 下载地址」。

Why use Aws Wechat Article Assets on TypingMind?

Because you install it once and use it with any model. Aws Wechat Article Assets is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Wechat Article Assets in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aiworkskills/wechat-article-skills/tree/main/skills/aws-wechat-article-assets. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aws Wechat Article Assets?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Wechat Article Assets?

As many as you like. As long as a model supports skills, you can use Aws Wechat Article Assets with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Wechat Article Assets AI skill free?

Yes. It is published on GitHub by aiworkskills under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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